000 03841nas a2200445 a 4500
005 20260818112508.0
008 150214s2012 th uu|m rtt 0| a1eng d
035 _a.b12127061
099 9 _aAIT Thesis no.ET-12-21
100 0 _aProw Choompradit
245 1 0 _aEstimating short and long run time-of-use tariff elasticities for PEA's customer demand
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2012
300 _a93 p. :
_bill. +
_e1 online resource
490 1 _aThesis ;
_vno. ET-12-21
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy
502 _aThesis (M.Sc.) - Asian Institute of Technology, 2012
520 _aThe thesis mainly aims to estimate electricity demand elasticities of PEA{u2019}s customers with respect to TOU tariffs in short- and long-run. The electricity demand for PEA{u2019}s clients is influenced by five variables, including peak prices, off-peak prices, amount of users, GDP and temperature. Along the study, double-log functional form is utilized through two notable approaches, partial adjustment and cointegration. GDP is found to be a major factor positively influencing upon electricity consumption among business sectors in both short-and long-run. On the contrary, residential sector shows highly demand sensitivity to temperature heightening with greater responsiveness in long run. The overall results show that all customer groups have inelastic demand responsiveness to one percent change in TOU tariffs. Besides, in the long run all the customers illustrate their greater concern to one percent rising in TOU prices, especially in peak periods. Peak and off-peak electricity are considered as substitutes. The main three types of PEA{u2019}s clients expose higher price sensitivity of their electricity demand, comprising of large-sized businesses, medium-sized businesses and small-sized businesses, respectively. Rarely changes in TOU prices might be a principal reason of inelastic tariff sensitivities among the customers. Consequently, policy makers should launch a more suited TOU tariffs based on diverse demand responsiveness in order to control probably an extremely excessive demand during peak period in the future.
650 0 _aElectric power consumption
_zThailand
700 1 _aMarpaung, Charles O.P.,
_eChairperson
700 0 _aWeerakorn Ongsakul,
_eExamination Committee
700 1 _aSingh, Jai Govind,
_eExamination Committee
710 2 _aPEA,
_eScholarship Donor
710 2 _aAsian Institute of Technology ducation Cooperation Project,
_eScholarship Donor
710 2 _aAsian Institute of Technology Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. ET-12-21
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B02274
907 _a.b12127061
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902 _a240404
998 _b0
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962 _a000:001:PDF:b1212706:001222:0:0:0:0:0:0
_tAbstract--AIT Thesis no.ET-12-21
_vn
945 _lmnait
945 _lmnait
945 _lmnarc
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